Post by Mike's Strategic Communications

A shift is happening in how AI systems are being built and used. Instead of relying on one-off prompts or linear instructions, engineers are starting to design loops. Systems where AI acts, evaluates, and iterates until a goal is reached. The unit of work is no longer a prompt. It is a cycle. In this setup, the human role moves away from writing instructions step by step. Instead, it becomes about defining structure, feedback, and boundaries for how the system continues working on its own. It is a subtle but important change. AI is no longer just responding. It is operating inside self-reinforcing workflows that can refine their own outputs over time. This is where loop engineering begins to matter, not as a tool, but as a shift in how we think about control, iteration, and autonomy in AI systems. Story here: https://lnkd.in/dApUQA4q